• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.55-63
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• 2020

The IoT technology is a field that applies and converges the technologies in the existing industrial environment, instead of new technologies. The IoT technology is releasing various application services converged with other industries such as smart home, healthcare, construction, and automobile, and it is also possible to secure the work efficiency and convenience of users of IoT-based technologies. However, the security threats occurring in the IoT-based technology environment are succeeding to the vulnerability of the existing wireless network environment. And the occurrence of new and variant attacks in the combination with the ICT convergence environment, is causing damages. Thus, in the IoT technology-based environment, it would be necessary to have researches on the safe transmission of messages in the communication environment between user and device, and device and device. This thesis aims to design a safe communication protocol in the IoT-based technology environment. Regarding the suggested communication protocol, this thesis performed the safety analysis on the attack techniques occurring in the IoT technology-based environment. And through the performance evaluation of the existing PKI-based certificate issuance system and the suggested communication protocol, this thesis verified the high efficiency(about 23%) of communication procedure. Also, this thesis verified the reduced figure(about 65%) of the issued quantity of certificate compared to the existing issuance system and the certificate management technique.

• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.870-882
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• 2021

Coptis chinensis has been used in the treatment of various diseases such as soothing, anti-inflammation, antimicrobial and antipyretic in oriental traditional medicine. In this study, we investigated the effect of hot water extract of Coptis chinensis(CCW) on skin barrier and inflammation-related factors in UVB and TNF-α/IFN-γ-induced HaCaT cells and evaluated its potential as a moisturizing and anti-inflammatory material. Based on result, the amount of HA (Hyaluronic acid) production and protein and mRNA expression of filaggrin were measured. In TNF-α/IFN-γ-induced HaCaT cells, CCW increased the amount of HA production in a concentration-dependent manner. In the measurement of protein and mRNA expression of filaggrin, the expression rate increased as the concentration of CCW increased. In UVB-induced HaCaT cells, CCW decreased the production of ROS and showed significant results with EGCG ((-)-epigallocatechin-3-gallate), a positive control. In addition, CCW inhibited the expression of inflammatory cytokines TNF-α, IL-1β, IL-6, and IL-8 in TNF-α/IFN-γ-induced HaCaT cells. It was confirmed that the protein and mRNA expression of COX-2, a major factor in skin inflammation, was decreased in a concentration-dependent manner. These results suggest that hot water extract from Coptis chinensis can be used as a cosmetic material having a moisturizing and anti-inflammatory effect.

• Journal of the Korean Applied Science and Technology
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• v.37 no.6
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• pp.1496-1506
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• 2020

This study was conducted as follows in order to find out the possibility of using (Chamaecyparis obtusa) by part as a cosmetic material. Chamaecyparis obtusa was separated leaves, bark, wood, and root, and extracted with 99.9% ethanol, and the antioxidant and whitening effects of the sample were confirmed. For this, the following studies were conducted. Antioxidant evaluation was confirmed by 1 1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity, 2 2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS+) radical scavenging activity. To evaluate the whitening effect, mushroom tyrosinase inhibitory activity evaluation and cytotoxicity evaluation of Chamaecyparis obtusa extract through MTT assay were conducted, and cellular tyrosinase inhibition rate was measured and melanin contents was confirmed. As a result of antioxidant activity, Bark extract among Chamaecyparis obtusa parts showed the best efficacy, and bark in B16F10 melanoma cell showed tyrosinase activity inhibition and melanin contents inhibitory effects. Therefore, it was confirmed that the ethanol extract of Chamaecyparis obtusa was developed as a natural material for safe and excellent whitening functional cosmetics.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.133-142
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• 2021

With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.163-168
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• 2022

As cloud computing and the Internet of things are getting popular, the number of devices in the Internet of things computing environments is increasing. In addition, there exist various Internet-based applications, such as home automation and healthcare. In turn, existing studies explored the quality of service, such as downtime and reliability of tasks for Internet of things applications. To enhance the quality of service of Internet of things applications, cloud-fog computing (combining cloud computing and edge computing) can be used for offloading burdens from the central cloud server to edge servers. However, when devices inherit the mobility property, continuity and the quality of service of Internet of things applications can be reduced. In this paper, we propose a resource management scheme based on live migrations for mobility support in edge-based fog computing environments. The proposed resource management algorithm is based on the mobility direction and pace to predict the expected position, and migrates tasks to the target edge server. The performance results show that our proposed resource management algorithm improves the reliability of tasks and reduces downtime of services.

• Journal of Life Science
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• v.32 no.7
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• pp.523-531
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• 2022

The purpose of this study was to evaluate the effect of antioxidant and anti-adipogenic activities in ethanol extracts from herb mixture (Ephedra sinica, Atractylodes lance, Gypsum fibrosum, and Theobroma cacao). DPPH, ABTS⁺ radical and xanthine oxidase scavenging activities were measured for antioxidant activity. Extracts of the herb mixture had 75.0, 100.8, and 79.5% scavenging activities at 1,000 ㎍/ml concentration, respectively. We investigated the inhibition of adipogenesis and adipocyte differentiation with an extract of an herb mixture in 3T3-L1 preadipocytes. An extract from the herb mixture at concentrations between 0 and 50 ㎍/ml did not affect 3T3-L1 cell viability. Treatment with herb mixture extracts of 25, 50, and 75 ㎍/ml in 3T3-L1 preadipocytes inhibited lipid accumulation in a dose-dependent manner. As a result of a Western blot experiment, it was shown that the herb mixture inhibited the differentiation transcription factors, PPARγ and C/EBPa, by 44.2 and 77.6%, respectively, at a concentration of 75 ㎍/ml in MDI-induced differentiated 3T3-L1 cells. As a result of RT-PCR, the gene expression of C/EBPa, SREBP-1c, and PPARγ was significantly inhibited by 43.4%, 59.6%, and 55.3%, respectively, at the concentration of 75 ㎍/ml of the herb mixture compared with the MDI-treated group. In addition, the expression of fatty acid synthase (FAS), a fatty acid synthesis regulator, was suppressed. These results can be applied to develop a functional food for anti-obesity with a herb mixture.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.21-31
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• 2021

As the COVID-19 pandemic rapidly changes healthcare around the globe, the need for smart healthcare that allows for remote diagnosis is increasing. The current classification of respiratory diseases cost high and requires a face-to-face visit with a skilled medical professional, thus the pandemic significantly hinders monitoring and early diagnosis. Therefore, the ability to accurately classify and diagnose respiratory sound using deep learning-based AI models is essential to modern medicine as a remote alternative to the current stethoscope. In this study, we propose a deep learning-based respiratory sound classification model using data collected from medical experts. The sound data were preprocessed with BandPassFilter, and the relevant respiratory audio features were extracted with Log-Mel Spectrogram and Mel Frequency Cepstral Coefficient (MFCC). Subsequently, a Parallel CNN network model was trained on these two inputs using stacking ensemble techniques combined with various machine learning classifiers to efficiently classify and detect abnormal respiratory sounds with high accuracy. The model proposed in this paper classified abnormal respiratory sounds with an accuracy of 96.9%, which is approximately 6.1% higher than the classification accuracy of baseline model.

• Journal of Life Science
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• v.32 no.12
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• pp.938-946
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• 2022

This study aims to evaluate the effects of antioxidant activities, protein and mRNA expressions of matrix metalloproteinase (MMP) -1 and procollagen type I C-peptide (PIP) in 70% ethanol extract from Hydnocarpus anthelmintica Pierre (HE). DPPH and ABTS⁺ radicals scavenging assays were measured for antioxidant activities and HE had 73.5% and 74.4% of scavenging activities at 1,000 ㎍/ml concentration, respectively. And we investigated the inhibition of collagenase by HE, and the result was a 78.8% inhibition effect on concentrations of 1,000 ㎍/ml. In addition, an MTT assay was performed to confirm the toxicity of the CCD-986sk fibroblasts to the HE, and as a result, the cell viability rate was about 91.7% at a concentration of 50 ㎍/ml or less, and subsequent cell experiments were performed at a concentration of 50 ㎍/ml or less. We treated the cells with UVB (20 mJ/cm²) for stimulation, treated HE at various concentrations, and performed ELISA tests and RT-PCR experiments. And HE increased the PIP and mRNA in a dose-dependent manner and showed an expression rate of about 64.2% and 83.4%, respectively, at a concentration of 50 ㎍/ml compared with Cont (50.3% and 45.8%, respectively). And HE suppressed the MMP-1 protein and mRNA in a dose-dependent manner and showed a low expression rate of about 48.7% and 35.9%, respectively, at a concentration of 50 ㎍/ml. These results can be applied to developing anti-wrinkle materials for functional food and cosmetics with HE.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.76-95
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• 2023

As information and communications technology-based "smart hospitals" and "digital healthcare" have become a hot topic in the healthcare field, hospital mobile apps are gaining attention; but, the utilization rate is low due to lack of publicity, unstable systems, and late updates. In this situation, systematic research is needed to increase the utilization rate of hospital mobile apps, but related research has been rare. Therefore, this study integrates the information systems success model (ISSM) from the technical perspective and the expectation-confirmation model (ECM) from the cognitive perspective to demonstrate the influence mechanism on the continuous use intention of hospital mobile apps. For this purpose, an online survey was conducted among 181 Korean adults who have used hospital mobile apps. The results of the structual equation modeling showed that most of the quality factors have significant effects on expectation confirmation, perceived usefulness, and satisfaction. Additionally, expectation confirmation significantly affects perceived usefulness and satisfaction, and both perceived usefulness and satisfaction significantly affect the continuous use intention of hospital mobile apps. This study is of importance in that it integrates the ISSM and ECM and applies them to the context of using hospital mobile apps, which are underutilized in the healthcare field, and provides practical implications for increasing the utilization rate of hospital mobile apps and operating effective and efficient services through the findings.

• Journal of the Korean Applied Science and Technology
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• v.40 no.2
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• pp.258-267
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• 2023

In this study, to investigate the possibility of using ethanol extract of Petasites japonicus (PJE) as a functional material, we investigated the activity of improving skin barrier and inflammation through UVB-induced human keratinocyte (HaCaT cell). As a result of confirming the antioxidant effect through DPPH radical scavenging activity, ABTS⁺ radical scavenging activity, and hydrogen peroxide scavenging activity, it was confirmed that it had an antioxidant effect similar to that of ascorbic acid, a control, at a concentration of 1 mg/ml. As a result of confirming the mRNA expression of the production ability of filaggrin and aquaporin-3 in HaCaT cells induced by UVB, it was confirmed that the reduced expression level by UVB stimulation increased in a concentration-dependent manner when the PJE was treated. It was confirmed that the mRNA expression of TNF-𝛼 and IL-1𝛽 were increased by UVB stimulation and decreased when the PJE was treated. As a result of the migration assay, it was confirmed that the proliferation of skin keratinocytes and the recovery rate of wounds were increased in a concentration-dependent manner. Based on the experimental results, it suggests that Petasites japonicus can be used as a functional cosmetic product that can improve skin moisturizing and skin barrier function.